For our project we first collected research from the CDC coronavirus case dataset for the US. We seperated the work into multiple notebooks. We created a report and presentation both of which are within this repo.
nickwawee/COVID19_Mortality_Predictions
This group project employs an artificial neural network and logistic regression to predict COVID19 mortality rates in individuals from the CDC Surveillance dataset. It contains a report, presentation, and several notebooks that have various functions. The primary notebooks used were Clean, Describe, Logit, MLPClassifier, and Project which is a summary notebook.
Jupyter NotebookMIT